Assimilazione economica e occupazionale degli immigranti: il caso modenese (Employment and income assimilation of immigrants: the case of Modena)

Eleonora Costantini (), Antonella Cavallo () and Natalia Naznarova ()

Center for the Analysis of Public Policies (CAPP) from Universita di Modena e Reggio Emilia, Dipartimento di Economia "Marco Biagi"

Abstract: The contemporary migrations are complex social phenomena affecting "every element, every aspect, every sphere and every representation of the economic, social, political and cultural system" of the society (Sayad, 1999). The multidisciplinary approach is the most appropriate, as it allows to use different tools to better understand the phenomena. The legislative contextualization as well as the use of sociological and economic theories are essentials to study the effects of migration. This paper analyses the different aspects of migration phenomenon in the labour market. The data used in this paper comes from the 2nd and 3rd survey ICESmo, which is a large work on the economic conditions of households living in the province of Modena realized by "Centro di Analisi delle Politiche Pubbliche" (CAPP - Centre for the Analysis of Public Policies). The analysis shows that the trends at the national level are observed also in the province of Modena. For example: the presence of migratory chains, the phenomenon of segregation across sectors and the over-education among immigrant workers. Moreover, it is observed a lower probability of being employed between foreign and Italian citizens. Finally, evidence shows the absence of income assimilation; the theory that a long presence of immigrants in the host labour market can improve their performance in terms of income.

Keywords: Immigration; Labour Market; Income Assimilation (search for similar items in EconPapers)
JEL-codes: J15 (search for similar items in EconPapers)
Pages: pages 18
Date: 2015-11
New Economics Papers: this item is included in nep-mig
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Persistent link: https://EconPapers.repec.org/RePEc:mod:cappmo:0122

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